bio-sfa

Code for reproducing experiments from [1].

To run:

conda env create -f environment.yml
conda activate biosfa
jupyter lab

The images [2] in data/ are copyrighted (c) Janne Sinkkonen 1994, 1995, 1996, 1997. Copying is permitted only for noncommercial use. They are hosted by the ICA group at the Helsinki, and can be downloaded here.

[1]: D. Lipshutz, C. Windolf, S. Golkar, and D.B. Chklovskii, "A biologically plausible neural network for Slow Feature Analysis", Advances in Neural Information Processing (NeurIPS 2020).

[2]: A. Hyvärinen, J. Karhunen, and E. Oja, “Independent Component Analysis,” Adaptive and Learning Systems for Signal Processing, Communications, and Control. John Wiley & Sons, Inc., 21-May-2001 [Online]. Available: http://dx.doi.org/10.1002/0471221317